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Regulated GTM (privacy/compliance constraints)

Compliance-aware routing + safe AI summaries

Automation that respects region/consent rules and adds AI leverage without polluting the CRM.

Client names withheld by NDA. Details are generalized to protect privacy while preserving the technical and operational shape of the work.

Problem

Handoffs broke across teams, notes were scattered, and compliance requirements limited what automation could touch and store.

Context & constraints

  • Region + consent constraints (what can be touched, stored, and messaged)
  • Sensitive fields required redaction and review workflows
  • Automation needed a clear audit trail and ownership model
  • Handoffs spanned multiple tools and teams

Approach

  • Encode consent/region constraints into routing logic and workflows as first-class rules.
  • Add LLM summaries with redaction and “no-write”/review modes to prevent unsafe CRM updates.
  • Instrument every enrichment and AI-driven action with an audit trail.

What Shipped

  • Routing rules that respect region, consent, and response SLAs
  • LLM summaries with redaction + guardrails (no CRM pollution)
  • Review queues for sensitive fields and low-confidence enrichments
  • Audit trail for AI actions and exceptions

Operational outcomes

  • Routing respected consent/region rules without manual triage
  • AI summaries added leverage without unsafe CRM writes
  • Review queues reduced escalations and improved data quality
  • Audit logs made security/compliance reviews straightforward

Governance & Safety

  • Least-privilege credentials
  • Prompt/output logging where appropriate
  • PII redaction rules
  • Human-in-the-loop approvals

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